{"id":"W7025004493","doi":"","title":"Trauma Systems in Canada: Evolution, Challenges, and Strategies for Improving Trauma Care for Rural Patients","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trauma care; Major trauma; Population; Rural population; Trauma center; Cohort; Rural area; Penetrating trauma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003307095,0.0003877272,0.0004255003,0.003164121,0.01000572,0.007454724,0.002010427,0.001192853,0.005226535],"category_scores_gemma":[0.008412449,0.0002980923,0.0007458808,0.008218165,0.002962292,0.002729573,0.004011613,0.002827502,0.00031841],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09670833,"about_ca_system_score_gemma":0.370708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984149,"about_ca_topic_score_gemma":0.99313,"domain_scores_codex":[0.9963894,0.0005160848,0.0001546013,0.0002287179,0.001240322,0.001470773],"domain_scores_gemma":[0.9923035,0.000630259,0.0008363187,0.0001151372,0.003194661,0.002920125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001306197,0.0002344931,0.3197402,0.005418535,0.0003167478,0.0016684,0.0318745,0.002043506,0.0007287956,0.08246804,0.1597411,0.395635],"study_design_scores_gemma":[0.00005947116,0.00018695,0.481672,0.01098229,0.0002808323,0.0009132449,0.11732,0.001857395,0.0004186876,0.01383171,0.3722754,0.0002020727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.192458,0.168293,0.003173608,0.5626753,0.002302628,0.0004785132,0.004460684,0.0001903379,0.06596798],"genre_scores_gemma":[0.7209693,0.2332821,0.01035275,0.02301605,0.0006356996,0.0002919146,0.00257976,0.00007897167,0.008793474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9032916,"threshold_uncertainty_score":0.7016714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04996238777213951,"score_gpt":0.2817111481486665,"score_spread":0.231748760376527,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}